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Optimal direct data-driven control with stability guarantees
European Journal of Control, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Selvi D. +3 more
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Direct data-driven design of sparse controllers
2013 American Control Conference, 2013This paper deals with direct data-driven design of model-reference controllers whose number of parameters is constrained. Input-output (I/O) sparse controllers are introduced and proposed as an alternative to low-order controller tuning. The optimal I/O sparse controller is shown to be never worse than the optimal low-order controller with the same ...
Formentin, Simone, Karimi, Alireza
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Direct data-driven control of a Diesel engine airpath
2012 American Control Conference (ACC), 2012In this paper, the direct data-driven design method introduced in [6] is applied to the airpath control problem in turbocharged Diesel engines. The method allows the employed fixed-order multivariable controller to be tuned without need of mathematically describing the system, thus avoiding the problem of dynamic undermodeling.
FORMENTIN, SIMONE +3 more
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Direct data-driven design of switching controllers for constrained systems
2021 American Control Conference (ACC), 2021This paper presents a hierarchical structure to directly design controllers for (possibly nonlinear) constrained systems. The proposed architecture combines the advantages of an inner data-driven switching controller designed to achieve a predefined closed-loop behavior and an outer model predictive controller, which is used as a reference governor ...
Sassella A., Breschi V., Formentin S.
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Direct data‐driven control of linear time‐delay systems
Asian Journal of Control, 2011AbstractThis paper presents an extension of the Virtual Reference Feedback Tuning (VRFT) methodology dedicated to linear time‐delay systems with known delay and unknown dynamics. The standard VRFT is not well suited for systems with dominant time‐delay as it yields high order controllers.
FORMENTIN, SIMONE +3 more
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A new method of direct data-driven predictive controller design
2013 9th Asian Control Conference (ASCC), 2013In this paper, we try to find a direct path between data and predictive controller. A straightforward data-driven predictive controller for the linear multivariable systems is proposed, without identifying any representation of the system in an intermediate step.
Hua Yang, Shaoyuan Li
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Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Edy Bertolissi +4 more
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Direct data-driven recursive controller unfalsification with analytic update
Automatica, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jeroen van Helvoort +2 more
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Robust direct data‐driven controller tuning with an application to vehicle stability control
International Journal of Robust and Nonlinear Control, 2017SummaryIn direct data‐driven controller tuning, a mathematical model of the plant is not needed, as the control law is directly derived from experimental data. Because the most widely used data‐driven techniques are based on the assumption that the underlying dynamics – albeit unknow – is linear, the performance of the resulting controller may not be ...
FORMENTIN, SIMONE +3 more
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Data-Driven Direct Adaptive Risk-Sensitive Control of Stochastic Systems
Journal of Systems Science and ComplexityzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nan Qiao 0012, Tao Li 0002
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